Abstract 492: Docosahexaenoic Acid-Enriched and Oleic Acid-Enriched Canola Oils Reduce Whole Blood Nuclear Factor Kappa-B Gene Expression in Men and Women with Abdominal Obesity
Bibliographic record
Abstract
Introduction As part of the large Canola Oil Multicenter Intervention Trial (COMIT) study, we have recently shown that consumption of a canola oil enriched with docosahexaenoic acid (DHA) under strictly controlled feeding conditions exerts anti-inflammatory effects compared with a control diet rich in linoleic acid (LA) and a diet rich in flax oil and alpha-linolenic acid (ALA). Objective In this study, we have investigated the impact of different oils containing various amounts of ALA, LA, oleic acid (OA) and DHA on the expression of key pro- and anti-inflammatory genes in a subset of adults having participated in COMIT. Methods COMIT is a randomized, crossover controlled full feeding trial involving 118 men and women with abdominal obesity and at least one other component of the metabolic syndrome who consumed 5 experimental isoenergetic diets (15.5% protein; 35.7% fat; 50.6% carbohydrate) for 4 weeks each. Here we report the impact of 4 of those 5 diets, which provided 60 g/3000 kcal of different oils: 1- High LA corn/safflower oil (CONTROL, 10.6 g OA; 0.2 g ALA; 41.6 g LA), 2- High ALA flax/safflower oil (FLAX, 10.7 g OA; 19.2 g ALA; 22.5 g LA), 3- High oleic canola (HO-CAN, 42.8 g OA; 1.4 g ALA; 8.8 g LA), 4- High DHA canola (DHA-CAN, 37.9 g OA; 1.2 g ALA; 7.6 g LA; 3.5 g DHA). Inflammatory genes expression in whole blood cells was assessed by real-time polymerase chain reaction from samples collected at the end of each diet in a random subset of 10 individuals (6 men, 4 women). Results DHA-CAN lowered the mRNA expression of the nuclear transcription factor kappa-B (NF-[[Unable to Display Character: к]]B) compared with CONTROL (-15.2%, P =0.07) and FLAX (-22.4%, P =0.007). NF-[[Unable to Display Character: к]]B gene expression was also lower after HO-CAN compared with FLAX (-16.5%, P =0.02). There was no apparent between-diet difference in mRNA expression of other inflammatory genes (interleukin (IL)-18, IL-1β, tumor necrosis factor-α) and transcription factors (natriuretic peptide receptor C). Conclusions Data from this controlled feeding study suggest that anti-inflammatory effects of a DHA-enriched canola oil and oleic acid-enriched canola oil compared with polyunsaturated fatty acids from plant sources are mediated, at least partly, through an alteration in the NF-[[Unable to Display Character: к]]B pathway.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".